Special Session on Multiple Model Approach to Machine Learning

Objectives and topics

Ensemble methods have gained great attention of scientific community over the last several years. Multiple models have been theoretically and empirically shown to provide significantly better performance than their single base models. Ensemble algorithms have found their application in various real word problems ranging from person recognition through medical diagnosis and text classification to financial forecasting. The MMAML 2012 Special Session at the 4th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2012) is devoted to the ensemble methods and their application to classification, prediction, and clustering problems. We want to offer an opportunity for researchers and practitioners to identify new promising research directions in this area. The scope of the MMAML 2012 includes, but not limited to, the following topics: